📈 A small, fast chart for time series, lines, areas, ohlc & bars

Technical Analysis Library using Pandas and Numpy

A python package for non parametric Mann Kendall family of trend tests.

trend / momentum and other patterns in financial timeseries

Bayesian Change-Point Detection and Time Series Decomposition

This script searches messages containing specified search terms in Telegram channels the user is a member of.

Python library to Fetch & Analyze Stock Market data.

What's trending on nostr?

Forecasting Monthly Sales of French Champagne - Perrin Freres

📈 A Python web app that analyzes popular trends of subreddits with data pulled from Reddit and news articles.

Library for automated signal segmentation, trend classification and analysis.

EBIC - AI-based parallel biclustering algorithm

EMD(Empirical Mode decomposition) light weight library, C/C++ language

A research project to crawl and analyze Top 1 million domains

CryptoKon with its advanced analysis tools, provides a deep understanding of the trends and movements within specific crypto projects, empowering you to make informed investment decisions. Say hello to a streamlined, user-friendly platform that puts the power of crypto analysis

An open source, real time trend detection library

Detect trends and changes in vegetation using remote sensing time series data.

Forecast the Airlines Passengers. Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.

Intrinsic Time-Scale Decomposition

Premise of Task: Contextual Alert and Trend System (CATS) is a proof of concept (POC) for an automated system for near real-time media monitoring via GDELT to identify trends and anomalies in the volume of online reports about pre-defined indicator events, at country level. This repository reflects the methodologies used to complete this task.